Deep Neural Network Dataset Collection for Optimal Positioning of a Capacitive Compensated Schiffman Phase Shifter-Reference-Cited by-同舟云学术

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Deep Neural Network Dataset Collection for Optimal Positioning of a Capacitive Compensated Schiffman Phase Shifter

Published:2023-06-25 Issue: Volume: Page:
ISSN:
Container-title:2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Author:

Gyaang Raymond¹,Abdul-Rahman Ahmed²,Gookyi Dennis Agyemanh Nana³,Jang Sung-Joon⁴,Lee Sang-Seol⁴

Affiliation:

1. Bolgatanga Technical University,Department of Electrical and Electronics Engineering,Bolgatanga,Ghana

2. Kwame Nkrumah University of Science and Technology,Department of Telecommunication Engineering,Kumasi,Ghana

3. Institute for Scientific and Technological Information, Council for Scientific and Industrial Research,Accra,Ghana

4. Korea Electronics Technology Institute,Intelligent Image Processing Research Center,Seongnam-si,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211092/10212431/10212927.pdf?arnumber=10212927

Reference13 articles.

1. A Novel Deep Neural Network Topology for Parametric Modeling of Passive Microwave Components

2. Ultrawideband Schiffman Phase Shifter Designed With Deep Neural Networks

3. Coupled-Strip-Transmission-Line Filters and Directional Couplers

4. Directional Coupler Compensation With Optimally Positioned Capacitances

5. Synthesis of Schiffman phase shifters

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